Marketplace Data Analyst: Revenue Insights & Dashboards

Tier4 Group

Atlanta (GA)

On-site

USD 85,000 - 120,000

Full time

2 days ago
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Job summary

Tier4 Group in Atlanta, GA is seeking a Marketplace Data Analyst to drive business performance through analytics, reporting, and strategic insights. You will partner with Operations, Partnerships, Business Development, and Product teams to identify growth opportunities, optimize revenue, and support key decisions backed by data.

The ideal candidate enjoys working with large datasets, builds meaningful dashboards, and translates analysis into actionable recommendations.

Qualifications

  • Bachelor’s degree in business, finance, economics, statistics, data science, or related field.
  • 3–5 years of analytics, BI, revenue strategy, or commercial analytics experience.
  • Advanced Microsoft Excel skills.
  • Strong SQL experience working with relational databases.
  • Experience with BI and data visualization platforms such as Tableau, Power BI, Looker, Sigma.
  • Strong verbal and written communication skills.

Responsibilities

  • Analyze sales performance, pricing trends, customer behavior and inventory to identify growth opportunities.
  • Evaluate business performance across channels, products, and operations.
  • Support revenue strategy initiatives through data-driven analysis and recommendations.
  • Develop and maintain recurring reporting packages, KPI dashboards, and scorecards.
  • Deliver scheduled and ad hoc analyses for leadership and stakeholders.
  • Ensure reporting assets remain accurate, scalable, and aligned with business needs.

Skills

Advanced Excel
SQL
Data analysis
Communication skills
BI platforms experience

Education

Bachelor's degree in a related field

Tools

Tableau
Power BI
Looker
Sigma
Snowflake
SQL Server

Job description

Tier4 Group in Atlanta, GA is seeking a Marketplace Data Analyst to drive business performance through analytics, reporting, and strategic insights. You will partner with Operations, Partnerships, Business Development, and Product teams to identify growth opportunities, optimize revenue, and support key decisions backed by data.

The ideal candidate enjoys working with large datasets, builds meaningful dashboards, and translates analysis into actionable recommendations.

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